Many bio-based production systems have been designed to maximize productivity and efficiency under standard conditions, increasing their vulnerability to changes in their surrounding natural, technological and social systems. Agri-food companies have been optimized to produce as many goods and services as efficiently as possible under standard conditions. However, insufficient attention has been paid to resilience to withstand major disruptions. Research applying quantitative metrics to supply chain resilience is limited. This study therefore aims to develop a prototype of a tool to quantify supply chain resilience and to identify strong and weak points in the supply chain. The tool is based on a Bayesian Network. A first draft was developed in 2017. In 2018, the tool will be further developed and tested using two case studies, one disruption in a Dutch sustainable pork supply chain and one has yet to be chosen.
|Effective start/end date||1/01/17 → 31/12/18|